Repository Universitas Pakuan

Detail Karya Ilmiah Dosen

Yuary Farradia, Abdul Talib Bin Bon, Hari Muharam

Judul : Internal vs External Green Supply Chain Management at Petrochemical Industry Economic Performance in Indonesia.

Abstrak :
Abstract
Indonesia's petrochemical sector contributes to 3% of Indonesia GDP and its demand should soon grow by 5% per year due to Indonesia's economic expansion. This is correlated with the economic expansion of Indonesia, since petrochemical derivative products are utilized in the production process of plastic products, pharmaceuticals, and textile. The Indonesia government put high effort on the integrated petrochemical industry development toward green industry in order to achieve better economic performance. The overall objective of this study is to draw the relationship between internal green supply chain management (GSCM) and external GSCM practices on economic performance of petrochemical industry in Indonesia. Internal GSCM consist of eco design and internal environment management. Whilst external GSCM consist of green purchasing and reverse logistic. This study was conducted among petrochemical olefin manufactures based in Banten Province Indonesia. The result showed that Internal GSCM has no direct effect on economic performance, but external GSCM has a positive effect on economic performance. The external GSCM practice implementation not only reduce any cost from waste treatment, environment accidents, and energy consumption toward profit achievement as well as profit growth over the years, but also generate sales and earnings.
Keywords
Internal Green Supply Chain Management, External Green Supply Chain Management, Petrochemical, Economic Performance,

Tahun : 2019 Media Publikasi : Prosiding

Kategori : Prosiding No/Vol/Tahun : - / - / 2019

ISSN/ISBN : 978-1-5323-5948-4

PTN/S : Universitas Pakuan Program Studi : MANAJEMEN

Bibliography :
References
Abdulrahman, M. D., Gunasekaran, A., & Subramanisan, N. (2014). Critical bariers in implementing reverse logistics
in the Chinese manufacturing sectors. International Journal of Production Economics, 147 (part B), 460-471
Azari,S., Baihaqi, I., and Bramanti, G.W. (2018). Identifikasi Risiko Green Supply Chain Management di PT
Petrokimia Gresi. Jurnal sains dan seni pomits Vol 7, No.1 (2018) 2337-3520 (2301-928X Print) D26
Bag, S., Anand, N., & Pandey, K. K. (2017). Green supply chain management model for sustainable manufacturing
practices. In Green supply chain management for sustainable business practice. (pp. 153-189). IGI Global.
doi:10.4018/978-1-5225-0635-5.ch006.
Becker, J.-M., Klein, K., Wetzels, M., (2012). Hierarchical latent variable models in PLSSEM: guidelines for using
reflective-formative type models, Long Range Planning 45 (5/6), 359e394.
Breckler, S. J. (1990). Applications of covariance structure modeling in psychology: cause for concern? Psychological
Bulletin, 107(2), 260–73. https://doi.org/10.1037/0033-2909.107.2.260
Carter, C. R., & Ellram, L. M. (1998). Reverse logistics: a review of the literature and framework for future
investigation. Journal of business logistics, 19(1), 85.
Carter, C. R., L. M. Ellram, L. Kaufmann, C. W. Autry, X. Zhao, and T. E. Callarman. 2014. “Looking Back and
Moving Forward: 50 years of the Journal of Supply Chain Management.” Journal of Supply Chain Management
50 (1): 1–7.
Christopher, M. (2016). Logistics & supply chain management. Pearson UK.Eltayeb, T.K., Zailani, S., Ramayah, T., Green supply chain initiatives among certified companies in Malaysia and
environmental sustainability: Investigating the outcomes. Resources, conservation and recycling, 55 (2011) 495-
506.
Fornell, C., and Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and
Measurement Error. Journal of Marketing Research (18:1), pp. 39-50.
Govindan, K., Soleiman, H. and Kannan, D. (2015). Reverse logistics and closed – loop supply chain: A Compre-
hensive review to explore the future. European Journal of Operational Research, Vol. 240, No. 3, p. 603-626.
Green, K., Zelbst, P., Meacham, J. and Bhadauria, V. (2012). Green Supply Chain Management Practices: Impact on
Performance. Supply Chain Management: An International Journal, Vol. 17 Iss. 3, pp. 290 - 305.
Guerrero-Baena, MD; Gomez-Limon, JA; Fruet, JF (2015). A multi-criteria method for environmental management
system selection: an intellectual capital approach. J. Clean. Prod. 105:428-437
Hair, J., Black, W., Babin, B., & Anderson, R. (2013). Multivariate Data Analysis. Pearson Education Limited.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation
modeling (PLS-SEM). Second Edition. Thousand Oaks, Califonia: Sage Publications.
Hair, J.F., Sarstedt, M., Ringle, CM., & Gudergan, S.P. (2018). Advanced Issues in Partial Least Square Structual
Equation Modeling (PLS-SEM). Thousand Oaks, CA: Sage.
Hirsch, P.M. (1975). Organizational effectiveness and the institutional environment. Adm. Sci. Q., 20 (3) (1975), pp.
327-344
Jabbour, & de Sousa Jabbour, A. B. L. (2015). Green human resource management and green supply chain
management: Linking two emerging agendas. Journal of Cleaner Production, 112, 1824-1833.
Jakfar, A., Zulfikarijah, F., Masudin, I. (2015). The Application of Green Supply Chain Management in Electronic
Industry Indonesia: A literature Review. Proceeding 8 International Seminar on Industrial Engineering and
Management. Indonesian Association of Industrial Engineering Higher Education (BKSTI) and Indonesia
Industrial Engineering & Management Association (ISTMI).
Khalid,K., Hilman, H., and Kumar, D. (2012). Get Along With Quantitative Research Process. International Journal
of Research in Management, 2 (2), 15-29.
Khastagir, D and Roy, M. 2014. Environment Responsiveness of Petrochemical Organisation in India. European
Journal of Business and Management .ISSN 2222-1905 (Paper) ISSN 2222-2839 (Online) Vol.6, No.2.
Lo, S. (2014). Effects of Supply Chain Position on the Motivation and Practices of Firms Going Green. International
Journal of Operations & Production Management, Vol.34, No. 1, pp. 93- 114
Milstein, M. B., Hart, S. L., York, A. S. (2002). Coercion Breeds Variation: The Differential Impact of Isomorphic
Pressures on Environmental Strategies. In: Organizations, policy and the natural environment, ed. by A. J.
Hoffman – M. J. Ventresca, 151–172. California: Stanford University Pres
Min, H. and Galle, W. (2001), “Green purchasing practices of US firms”, International Journal of Operations and
Production Management, Vol. 21 No. 9, pp. 1222-1238.
Murray M.(2012). Green Supply Chain Education.
http://logistics.about.com/od/greensupplychain/a/Green_Education.htm
Rahim, S.A., Fernando, Y., Saad, R (2016). Sustainable Green Supply Chain Management and Impact on
Organizations. Journal of Emerging Trends in Economics and Management Sciences (JETEMS) 7(3):147-155.
jetems.scholarlinkresearch.com
Rambu Energy., News and Communities, 2014. Available: https://www.rambuenergy.com/2014/03/the-revival-of-indonesias-petrochemical-industry/
Ramayah, T., Cheah, J., Chuah, F., Ting, H., Memon., M.A. (2018). Partial Least Squares Structural Equation
Modeling (PLS-SEM) using smartPLS 3.0. An Updated and Practical Guide to Statistical Analysis. Second
Edition. Pearson.
Rao, P. and Hold, D. (2005), Do Green Supply Chains Lead to Competitiveness
and Economic Performance?, International Journal of Operational and Production Management, Vol. 25 No.9,
p.898-916
Roghanian, E. & Pazhoheshfar, P. (2014). An optimization model for reverse logistics network under stochastic
environment by using genetic algorithm. Journal of Manufacturing Systems 33 (2014) 348–356
Sarkis,J., Zhu, Q., & Lai, K.H (2011). An Organizational Theoretic Review of Green Supply Chain Management
Literature. International Journal Production Economics, 130, 1-15.
Schmidt, C.G., Foerstl, K., Schaltenbrand, B., (2017). The Supply Chain Position ParadoxGreen Practices and Firm
Performance. Journal of Supply Chain Management 2017, 53(1), 3–25
Singhal, P. (2013). Green Supply Chain and Eco-Design in Electronic Industry.
http://www.internationalseminar.org/XIV_AIS/TS%205%20A/4.%20Puja%20Singhal.pdf

URL : http://ieomsociety.org/ieom2019/papers/825.pdf

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Detail Karya Ilmiah Dosen

Yuary Farradia, Abdul Talib Bin Bon, Hari Muharam

Judul	:	Internal vs External Green Supply Chain Management at Petrochemical Industry Economic Performance in Indonesia.
Abstrak	:	Abstract Indonesia's petrochemical sector contributes to 3% of Indonesia GDP and its demand should soon grow by 5% per year due to Indonesia's economic expansion. This is correlated with the economic expansion of Indonesia, since petrochemical derivative products are utilized in the production process of plastic products, pharmaceuticals, and textile. The Indonesia government put high effort on the integrated petrochemical industry development toward green industry in order to achieve better economic performance. The overall objective of this study is to draw the relationship between internal green supply chain management (GSCM) and external GSCM practices on economic performance of petrochemical industry in Indonesia. Internal GSCM consist of eco design and internal environment management. Whilst external GSCM consist of green purchasing and reverse logistic. This study was conducted among petrochemical olefin manufactures based in Banten Province Indonesia. The result showed that Internal GSCM has no direct effect on economic performance, but external GSCM has a positive effect on economic performance. The external GSCM practice implementation not only reduce any cost from waste treatment, environment accidents, and energy consumption toward profit achievement as well as profit growth over the years, but also generate sales and earnings. Keywords Internal Green Supply Chain Management, External Green Supply Chain Management, Petrochemical, Economic Performance,
Tahun	:	2019	Media Publikasi	:	Prosiding
Kategori	:	Prosiding	No/Vol/Tahun	:	- / - / 2019
ISSN/ISBN	:	978-1-5323-5948-4
PTN/S	:	Universitas Pakuan	Program Studi	:	MANAJEMEN
Bibliography	:	References Abdulrahman, M. D., Gunasekaran, A., & Subramanisan, N. (2014). Critical bariers in implementing reverse logistics in the Chinese manufacturing sectors. International Journal of Production Economics, 147 (part B), 460-471 Azari,S., Baihaqi, I., and Bramanti, G.W. (2018). Identifikasi Risiko Green Supply Chain Management di PT Petrokimia Gresi. Jurnal sains dan seni pomits Vol 7, No.1 (2018) 2337-3520 (2301-928X Print) D26 Bag, S., Anand, N., & Pandey, K. K. (2017). Green supply chain management model for sustainable manufacturing practices. In Green supply chain management for sustainable business practice. (pp. 153-189). IGI Global. doi:10.4018/978-1-5225-0635-5.ch006. Becker, J.-M., Klein, K., Wetzels, M., (2012). Hierarchical latent variable models in PLSSEM: guidelines for using reflective-formative type models, Long Range Planning 45 (5/6), 359e394. Breckler, S. J. (1990). Applications of covariance structure modeling in psychology: cause for concern? Psychological Bulletin, 107(2), 260–73. https://doi.org/10.1037/0033-2909.107.2.260 Carter, C. R., & Ellram, L. M. (1998). Reverse logistics: a review of the literature and framework for future investigation. Journal of business logistics, 19(1), 85. Carter, C. R., L. M. Ellram, L. Kaufmann, C. W. Autry, X. Zhao, and T. E. Callarman. 2014. “Looking Back and Moving Forward: 50 years of the Journal of Supply Chain Management.” Journal of Supply Chain Management 50 (1): 1–7. Christopher, M. (2016). Logistics & supply chain management. Pearson UK.Eltayeb, T.K., Zailani, S., Ramayah, T., Green supply chain initiatives among certified companies in Malaysia and environmental sustainability: Investigating the outcomes. Resources, conservation and recycling, 55 (2011) 495- 506. Fornell, C., and Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research (18:1), pp. 39-50. Govindan, K., Soleiman, H. and Kannan, D. (2015). Reverse logistics and closed – loop supply chain: A Compre- hensive review to explore the future. European Journal of Operational Research, Vol. 240, No. 3, p. 603-626. Green, K., Zelbst, P., Meacham, J. and Bhadauria, V. (2012). Green Supply Chain Management Practices: Impact on Performance. Supply Chain Management: An International Journal, Vol. 17 Iss. 3, pp. 290 - 305. Guerrero-Baena, MD; Gomez-Limon, JA; Fruet, JF (2015). A multi-criteria method for environmental management system selection: an intellectual capital approach. J. Clean. Prod. 105:428-437 Hair, J., Black, W., Babin, B., & Anderson, R. (2013). Multivariate Data Analysis. Pearson Education Limited. Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM). Second Edition. Thousand Oaks, Califonia: Sage Publications. Hair, J.F., Sarstedt, M., Ringle, CM., & Gudergan, S.P. (2018). Advanced Issues in Partial Least Square Structual Equation Modeling (PLS-SEM). Thousand Oaks, CA: Sage. Hirsch, P.M. (1975). Organizational effectiveness and the institutional environment. Adm. Sci. Q., 20 (3) (1975), pp. 327-344 Jabbour, & de Sousa Jabbour, A. B. L. (2015). Green human resource management and green supply chain management: Linking two emerging agendas. Journal of Cleaner Production, 112, 1824-1833. Jakfar, A., Zulfikarijah, F., Masudin, I. (2015). The Application of Green Supply Chain Management in Electronic Industry Indonesia: A literature Review. Proceeding 8 International Seminar on Industrial Engineering and Management. Indonesian Association of Industrial Engineering Higher Education (BKSTI) and Indonesia Industrial Engineering & Management Association (ISTMI). Khalid,K., Hilman, H., and Kumar, D. (2012). Get Along With Quantitative Research Process. International Journal of Research in Management, 2 (2), 15-29. Khastagir, D and Roy, M. 2014. Environment Responsiveness of Petrochemical Organisation in India. European Journal of Business and Management .ISSN 2222-1905 (Paper) ISSN 2222-2839 (Online) Vol.6, No.2. Lo, S. (2014). Effects of Supply Chain Position on the Motivation and Practices of Firms Going Green. International Journal of Operations & Production Management, Vol.34, No. 1, pp. 93- 114 Milstein, M. B., Hart, S. L., York, A. S. (2002). Coercion Breeds Variation: The Differential Impact of Isomorphic Pressures on Environmental Strategies. In: Organizations, policy and the natural environment, ed. by A. J. Hoffman – M. J. Ventresca, 151–172. California: Stanford University Pres Min, H. and Galle, W. (2001), “Green purchasing practices of US firms”, International Journal of Operations and Production Management, Vol. 21 No. 9, pp. 1222-1238. Murray M.(2012). Green Supply Chain Education. http://logistics.about.com/od/greensupplychain/a/Green_Education.htm Rahim, S.A., Fernando, Y., Saad, R (2016). Sustainable Green Supply Chain Management and Impact on Organizations. Journal of Emerging Trends in Economics and Management Sciences (JETEMS) 7(3):147-155. jetems.scholarlinkresearch.com Rambu Energy., News and Communities, 2014. Available: https://www.rambuenergy.com/2014/03/the-revival-of-indonesias-petrochemical-industry/ Ramayah, T., Cheah, J., Chuah, F., Ting, H., Memon., M.A. (2018). Partial Least Squares Structural Equation Modeling (PLS-SEM) using smartPLS 3.0. An Updated and Practical Guide to Statistical Analysis. Second Edition. Pearson. Rao, P. and Hold, D. (2005), Do Green Supply Chains Lead to Competitiveness and Economic Performance?, International Journal of Operational and Production Management, Vol. 25 No.9, p.898-916 Roghanian, E. & Pazhoheshfar, P. (2014). An optimization model for reverse logistics network under stochastic environment by using genetic algorithm. Journal of Manufacturing Systems 33 (2014) 348–356 Sarkis,J., Zhu, Q., & Lai, K.H (2011). An Organizational Theoretic Review of Green Supply Chain Management Literature. International Journal Production Economics, 130, 1-15. Schmidt, C.G., Foerstl, K., Schaltenbrand, B., (2017). The Supply Chain Position ParadoxGreen Practices and Firm Performance. Journal of Supply Chain Management 2017, 53(1), 3–25 Singhal, P. (2013). Green Supply Chain and Eco-Design in Electronic Industry. http://www.internationalseminar.org/XIV_AIS/TS%205%20A/4.%20Puja%20Singhal.pdf
URL	:	http://ieomsociety.org/ieom2019/papers/825.pdf